Results 21 to 30 of about 353,852 (269)
Identification of asthma control factor in clinical notes using a hybrid deep learning model
BMC Medical Informatics and Decision Making, 2021 Background There are significant variabilities in guideline-concordant documentation in asthma care. However, assessing clinician’s documentation is not feasible using only structured data but requires labor-intensive chart review of electronic health ...
Bhavani Singh Agnikula Kshatriya +6 more
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Improving Distant Supervised Relation Extraction with Noise Detection Strategy
Applied Sciences, 2021 Distant supervised relation extraction (DSRE) is widely used to extract novel relational facts from plain text, so as to improve the knowledge graph.
Xiaoyan Meng +5 more
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Cross-Sentence Bag Relation Extraction Method Combining Entity Description Information [PDF]
Jisuanji gongcheng, 2021 Distant supervision can significantly reduce the cost of labeling, but the existing methods ignore the correlation information between relations and entity description information.To address the problem, this paper proposes a new cross-sentence bag ...
SUN Xin, SHEN Changhong, JIANG Jinghu, CUI Jiaming
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Distant Supervision Relation Extraction Based on Focal Loss and Residual Network [PDF]
Jisuanji gongcheng, 2019 Distant supervision relation extraction based on Convolutional Neural Network(CNN) can extract only single feature,and the standard cross-entropy loss function is not sufficient in balancing the ratio of positive samples and negative samples in datasets ...
CAI Qiang, LI Jing, HAO Jiayun
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Distant Supervision from Knowledge Graphs [PDF]
, 2018 In this chapter, we discuss approaches leveraging distant supervision for relation extraction. We start by introducing the key ideas behind distant supervision as well as their main shortcomings. We then discuss approaches that improve over the basic method, including approaches based on the at-least-one-principle along with their extensions for ...
Smirnova, Alisa +2 more
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Improving Distantly-Supervised Relation Extraction Through BERT-Based Label and Instance Embeddings
IEEE Access, 2021 Distantly-supervised relation extraction (RE) is an effective method to scale RE to large corpora but suffers from noisy labels. Existing approaches try to alleviate noise through multi-instance learning and by providing additional information but manage
Despina Christou, Grigorios Tsoumakas
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EANT: Distant Supervision for Relation Extraction with Entity Attributes via Negative Training
Applied Sciences, 2022 Distant supervision for relation extraction (DSRE) automatically acquires large-scale annotated data by aligning the corpus with the knowledge base, which dramatically reduces the cost of manual annotation.
Xuxin Chen, Xinli Huang
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Distant Supervision Relation Extraction Combining Attention Mechanism and Ontology
Jisuanji kexue yu tansuo, 2020 Relational extraction extracts relationships from unstructured text and outputs them in a structured form. In order to improve the extraction accuracy and reduce the dependence on manual annotation, this paper proposes a distant supervision relationship ...
LI Yanjuan, ZANG Mingzhe, LIU Xiaoyan, LIU Yang, GUO Maozu
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Semi-supervised Stance Detection of Tweets Via Distant Network Supervision [PDF]
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, 2022 Detecting and labeling stance in social media text is strongly motivated by hate speech detection, poll prediction, engagement forecasting, and concerted propaganda detection. Today's best neural stance detectors need large volumes of training data, which is difficult to curate given the fast-changing landscape of social media text and issues on which ...
Dutta, Subhabrata +3 more
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IEEE Access, 2020 Recent advances in deep neural networks (DNNs) have enabled us to achieve reliable named entity recognition (NER) models without handcrafting features. However, these are also some obstacles imposed by using those machine learning methods, in need of a ...
Dezheng Zhang +6 more
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